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Computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless Systems

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Cognitive Radio Oriented Wireless Networks and Wireless Internet (CROWNCOM 2021, WiCON 2021)

Abstract

Wireless systems such as cellular networks have begun to see proposals for increased operational flexibility through reuse of the same hardware but with different signal standards. This paper presents an approach to characterise a power amplifier (PA) for multiple signal standards. Following from this, behavioural modeling demonstrates that the same coefficients trained for a single signal standard can be effectively applied to multiple signal standards. This result is used to design and implement a digital predistorter (DPD) capable of linearizing for different signal standards on a Field Programmable Gate Array (FPGA). This implementation is experimentally validated on a state-of-the-art RFSoC FPGA from Xilinx to correct for PA non-linearities in the transmit chain using an efficient hardware design. Additionally the behavioural modelling and DPD solutions have been validated using distinctly different PAs to demonstrate the proposed look up table approach is hardware agnostic and works when the appropriate dimensions are set for the dynamic nonlinear structure in each case.

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Acknowledgements

This publication has emanated in part from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077 and 18/CRT/6222. This research was also partly supported by MathWorks and by contributions from AMD/Xilinx

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Authors and Affiliations

  1. Maynooth University, Maynooth, Ireland

    Meabh Loughman, Rahul Mushini & John Dooley

  2. Northeastern University, Boston, MA, USA

    Zhaoyang Han, Yiyue Jiang & Miriam Leeser

Authors
  1. Zhaoyang Han
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  2. Meabh Loughman
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  3. Yiyue Jiang
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  4. Rahul Mushini
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  5. Miriam Leeser
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  6. John Dooley
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Corresponding author

Correspondence to Miriam Leeser .

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Editors and Affiliations

  1. Hebei Normal University, Shijiazhuang, China

    Huilong Jin

  2. Hebei Normal University, Shijiazhuang, China

    Chungang Liu

  3. United International University, Dhaka, Bangladesh

    Al-Sakib Khan Pathan

  4. Lakehead University, Thunder Bay, ON, Canada

    Zubair Md. Fadlullah

  5. Lakehead University, Thunder Bay, ON, Canada

    Salimur Choudhury

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Han, Z., Loughman, M., Jiang, Y., Mushini, R., Leeser, M., Dooley, J. (2022). Computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless Systems. In: Jin, H., Liu, C., Pathan, AS.K., Fadlullah, Z.M., Choudhury, S. (eds) Cognitive Radio Oriented Wireless Networks and Wireless Internet. CROWNCOM WiCON 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-030-98002-3_3

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  • DOI: https://doi.org/10.1007/978-3-030-98002-3_3

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  • Online ISBN: 978-3-030-98002-3

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